Crowd Engineering—An Open Innovation Approach Adapted to Product Development
Michael Hertwig (),
Joachim Lentes,
Adrian Barwasser and
Frauke Schuseil
Additional contact information
Michael Hertwig: Fraunhofer Institute for Industrial Engineering IAO
Joachim Lentes: Fraunhofer Institute for Industrial Engineering IAO
Adrian Barwasser: University of Stuttgart, Institute for Human-Factors and Technology Management IAT
Frauke Schuseil: Fraunhofer Institute for Industrial Engineering IAO
A chapter in European Perspectives on Innovation Management, 2024, pp 169-196 from Springer
Abstract:
Abstract Product development is a complex process that requires significant resources and expertise. Traditional product development methods can be slow, expensive, and may not always lead to successful outcomes. Crowd Engineering is a new approach to product development that leverages the power of crowdsourcing to accelerate innovation and reduce costs. This method involves breaking down complex tasks into smaller sub-tasks that can be completed by a large number of external innovators and developers, often through online platforms. By doing so, it allows for greater flexibility in development speed and iterations, as well as reducing the amount of work per step. The involvement of external innovators and developers in Crowd Engineering opens up new discussions that can lead to otherwise unachievable innovations. It combines methods of the stage gate model with agile development methods, making it suitable for adoption in various product development models depending on the product type and use case. However, there are potential challenges to using this approach, such as ensuring quality control and managing intellectual property rights. The following chapter will discuss the concept of Crowd Engineering and the implications of its implementation as an alternative product development process.
Keywords: Crowd sourcing; Crowd engineering; Distributed product development; Open innovation; Product innovation (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-41796-2_7
Ordering information: This item can be ordered from
http://www.springer.com/9783031417962
DOI: 10.1007/978-3-031-41796-2_7
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().